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J. Multivar. Anal., 2025

Distributed additive hazards regression analysis of multi-site current status data without using individual-level data.

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Peiyao Huang

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Stat. Comput., December, 2024

Nonparametric quantile scalar-on-image regression.

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Chuchu Wang

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Comput. Stat. Data Anal., March, 2024

Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcome.

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Rongqian Sun

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Stat. Comput., February, 2024

Transformation models with informative partly interval-censored data.

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Composite expectile estimation in partial functional linear regression model.

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Ping Yu

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J. Multivar. Anal., 2024

Bayesian Heterogeneous Hidden Markov Models with an Unknown Number of States.

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Yudan Zou

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J. Comput. Graph. Stat., 2024

Online portfolio selection with predictive instantaneous risk assessment.

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Pattern Recognit., December, 2023

Generative adversarial mediation network: A novel generative learning approach to causal mediation analysis.

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Knowl. Based Syst., December, 2023

Functional concurrent hidden Markov model.

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Xiaoxiao Zhou

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Stat. Comput., June, 2023

Joint Modeling of Longitudinal Imaging and Survival Data.

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Kai Kang

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Xin Yuan Song

J. Comput. Graph. Stat., April, 2023

Order selection for regression-based hidden Markov model.

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Yiqi Lin

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J. Multivar. Anal., 2022

Consistent estimation of a joint model for multivariate longitudinal and survival data with latent variables.

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Kai Kang

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J. Multivar. Anal., 2022

Ultrashort-Term Heat Load Prediction for Heat Exchange Stations Based on Dual-Source Data Feature Fusion.

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IEEE Internet Things J., 2022

Mixture additive hazards cure model with latent variables: Application to corporate default data.

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Comput. Stat. Data Anal., 2022

Varying-coefficient hidden Markov models with zero-effect regions.

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Hefei Liu

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Comput. Stat. Data Anal., 2022

Deep Tobit networks: A novel machine learning approach to microeconometrics.

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Neural Networks, 2021

Clusterwise functional linear regression models.

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Comput. Stat. Data Anal., 2021

Continuous time hidden Markov model for longitudinal data.

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Jie Zhou

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Liuquan Sun

J. Multivar. Anal., 2020

Joint analysis of semicontinuous data with latent variables.

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Xiaoqing Wang

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Xiangnan Feng

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Comput. Stat. Data Anal., 2020

Bayesian bridge-randomized penalized quantile regression.

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Yuzhu Tian

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Comput. Stat. Data Anal., 2020

Bayesian Local Influence of Generalized Failure Time Models with Latent Variables and Multivariate Censored Data.

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Ming Ouyang

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J. Classif., 2020

Finite mixture of varying coefficient model: Estimation and component selection.

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J. Multivar. Anal., 2019

Identification of local sparsity and variable selection for varying coefficient additive hazards models.

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Lianqiang Qu

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Comput. Stat. Data Anal., 2018

Estimation and testing for time-varying quantile single-index models with longitudinal data.

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Comput. Stat. Data Anal., 2018

Functional Sufficient Dimension Reduction for Functional Data Classification.

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Guochang Wang

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J. Classif., 2018

Bayesian regularized quantile structural equation models.

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J. Multivar. Anal., 2017

Composite quantile regression for correlated data.

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Weihua Zhao

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Comput. Stat. Data Anal., 2017

Bayesian local influence of semiparametric structural equation models.

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Comput. Stat. Data Anal., 2017

Analysis of a fixed center effect additive rates model for recurrent event data.

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Comput. Stat. Data Anal., 2017

First Passage Optimality for Continuous-Time Markov Decision Processes With Varying Discount Factors and History-Dependent Policies.

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IEEE Trans. Autom. Control., 2014

Variable selection in high-dimensional quantile varying coefficient models.

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A Bayesian semiparametric dynamic two-level structural equation model for analyzing non-normal longitudinal data.

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Fei Chen

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J. Multivar. Anal., 2013

Bayesian diagnostics of transformation structural equation models.

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Ji Chen

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Comput. Stat. Data Anal., 2013

Linear Programming and Constrained Average Optimality for General Continuous-Time Markov Decision Processes in History-Dependent Policies.

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Yonghui Huang

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SIAM J. Control. Optim., 2012

Semiparametric transformation models with Bayesian P-splines.

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Stat. Comput., 2012

A criterion-based model comparison statistic for structural equation models with heterogeneous data.

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J. Multivar. Anal., 2012

A Bayesian approach for generalized random coefficient structural equation models for longitudinal data with adjacent time effects.

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Nian-Sheng Tang

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Comput. Stat. Data Anal., 2012

Performance Analysis for Controlled Semi-Markov Systems with Application to Maintenance.

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Yonghui Huang

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J. Optim. Theory Appl., 2011

A mixture of generalized latent variable models for mixed mode and heterogeneous data.

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Comput. Stat. Data Anal., 2011

Response to "Comments on 'Bayesian variable selection for disease classification using gene expression data'".

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Zhaohua Lu

Bioinform., 2011

Bayesian variable selection for disease classification using gene expression data.

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Ai-Jun Yang

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Bioinform., 2010

Mean-Variance Criteria for Finite Continuous-Time Markov Decision Processes.

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IEEE Trans. Autom. Control., 2009

Bias optimality for multichain continuous-time Markov decision processes.

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Junyu Zhang

Oper. Res. Lett., 2009

On Bayesian estimation and model comparison of an integrated structural equation model.

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Comput. Stat. Data Anal., 2008

Assessing local influence for nonlinear structural equation models with ignorable missing data.

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Bin Lu

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Comput. Stat. Data Anal., 2006

Local Influence Analysis for Mixture of Structural Equation Models.

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J. Classif., 2004

Maximum likelihood estimation and model comparison of nonlinear structural equation models with continuous and polytomous variables.

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Comput. Stat. Data Anal., 2003

Maximum Likelihood Estimation and Model Comparison for Mixtures of Structural Equation Models with Ignorable Missing Data.

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